Knowledge hiding and occupational stress affecting employees’ performance: comparative analysis from emerging and advanced economies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examined the impact of knowledge hiding (KH) and occupational stress (OS) on the employees’ performance (EP) within the logistics businesses in the contrasting economies: Canada, United Kingdom, India, and Pakistan. The matrix-based questionnaire circulated and total 224 valid responses (56 from each country) out of 408 sample gathered through networking, disproportionate quota, and purposive sampling technique. For the data analysis, PLS-SEM was employed. The results showed that knowledge hiding and occupational stress affect the performance of the employees negatively in all considered distinctive economies. Interestingly, the usage of funnel approach revealed that higher knowledge hiding (KH) is evident in Canada and the UK (developed economies) as compared to Pakistan and India (emerging economies). The comparison revealed that the knowledge hiding is higher than the occupational stress in affecting the employees’ performance. Furthermore, knowledge hiding creates unfriendly environment with higher depression and anxiety, that are contributing factors towards lower performance at all levels of the organisation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it